Prerequisites: MET CS 544, or MET CS 555 or equivalent knowledge, or instructor's consent. - The Web Mining and Graph Analytics course covers the areas of web mining, machine learning fundamentals, text mining, clustering, and graph analytics. This includes learning fundamentals of machine learning algorithms, how to evaluate algorithm performance, feature engineering, content extraction, sentiment analysis, distance metrics, fundamentals of clustering algorithms, how to evaluate clustering performance, and fundamentals of graph analysis algorithms, link analysis and community detection based on graphs. Laboratory Course.
FALL 2026 Schedule
| Section |
Instructor |
Location |
Schedule |
Notes |
| A1 |
Hajiyani |
CAS 228 |
T 6:00 pm-8:45 pm |
|
FALL 2026 Schedule
| Section |
Instructor |
Location |
Schedule |
Notes |
| A2 |
Vasilkoski |
HAR 220 |
R 6:00 pm-8:45 pm |
|
FALL 2026 Schedule
| Section |
Instructor |
Location |
Schedule |
Notes |
| O1 |
Rawassizadeh |
|
ARR 12:00 am-12:00 am |
Students are assigned to class sections of about 20 with a member of the teaching team.
Student visa holders must contact their advisor for approval before registering for any online class. |
SPRG 2027 Schedule
| Section |
Instructor |
Location |
Schedule |
Notes |
| A1 |
Vasilkoski |
|
T 6:00 pm-8:45 pm |
|
SPRG 2027 Schedule
| Section |
Instructor |
Location |
Schedule |
Notes |
| O2 |
Rawassizadeh |
|
ARR 12:00 am-12:00 am |
Students are assigned into class sections of about 20 with a member of the teaching team.
Please note any prerequisite(s). Completion of the prerequisite course or consent of the instructor is required.
F1 student visa holders should contact the CS Dept at metcs@bu.edu prior to registering for any online courses. |
Note that this information may change at any time. Please visit the MyBU Student Portal for the most up-to-date course information.
